Scientific article
OA Policy
English

Wake slow waves in focal human epilepsy impact network activity and cognition

Published inNature communications, vol. 14, no. 1, 7397
Publication date2023-11-30
First online date2023-11-30
Abstract

Slow waves of neuronal activity are a fundamental component of sleep that are proposed to have homeostatic and restorative functions. Despite this, their interaction with pathology is unclear and there is only indirect evidence of their presence during wakefulness. Using intracortical recordings from the temporal lobe of 25 patients with epilepsy, we demonstrate the existence of local wake slow waves (LoWS) with key features of sleep slow waves, including a down-state of neuronal firing. Consistent with a reduction in neuronal activity, LoWS were associated with slowed cognitive processing. However, we also found that LoWS showed signatures of a homeostatic relationship with interictal epileptiform discharges (IEDs): exhibiting progressive adaptation during the build-up of network excitability before an IED and reducing the impact of subsequent IEDs on network excitability. We therefore propose an epilepsy homeostasis hypothesis: that slow waves in epilepsy reduce aberrant activity at the price of transient cognitive impairment.

Keywords
  • Humans
  • Electroencephalography
  • Epilepsy
  • Epilepsies, Partial
  • Sleep / physiology
  • Cognition
Affiliation entities Not a UNIGE publication
Citation (ISO format)
SHEYBANI, Laurent et al. Wake slow waves in focal human epilepsy impact network activity and cognition. In: Nature communications, 2023, vol. 14, n° 1, p. 7397. doi: 10.1038/s41467-023-42971-3
Main files (1)
Article (Published version)
Secondary files (2)
Identifiers
Additional URL for this publicationhttps://www.nature.com/articles/s41467-023-42971-3
Journal ISSN2041-1723
61views
22downloads

Technical informations

Creation16/05/2024 11:55:45
First validation17/06/2024 12:39:27
Update time17/06/2024 12:39:27
Status update17/06/2024 12:39:27
Last indexation01/11/2024 09:56:16
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack